31 results about "Local information systems" patented technology

A technique, method, apparatus, and system to provide educational related, integrated social networking, real time geospatial mapping, geo-target location based technologies including GPS and GIS and multiple points of interest, receiving current location of user's electronic or mobile device and multiple points of interest, cloud-type configuration storing and handling user data across multiple enterprises, generating user behavior data and ad links, promotions (“social/geo/promo”) links on a website for educational related products, goods, and/or services, including educational related social/geo/promo data sets for user customized visual displays showing 3D map presentations with correlated or related broad or alternative categories of social/geo/promo links to be displayed with web page content for view and interaction by an end user.

A network that is architectured to distributively be responsible for remedying failures achieves advantageous operation. This is accomplished by algorithmically and distributively assigning the responsibility for recovery from all failures to different network nodes and by re-routing traffic at the failed point though network elements in close topological proximity to the failed point. Each node maintains an awareness of the spare resources in its neighborhood and pre-plans re-route plans for each of the failures for which it is responsible. It maintains the created re-route plans and, upon detection of a failure, transmits a re-route plan to particular nodes that participate in the re-routing recovery planned for such a failure. Alternatively, it transmits re-route plans to the nodes that need them, and upon detection of a failure, the network node broadcasts an ID of the re-route plan that needs to be executed. Nodes that receive a plan ID that corresponds to a plan that they possess execute the relevant plan. Whenever the spare resources change in a manner that suggests that a re-route plan needs to be revisited, the network node initiates a new re-route preplanning process.

A method and system is provided where a first computer (e.g., a central server) collects information to be presented to one or more users. The information is organized into a plurality of first web-sites where each of these web-sites is addressable by a unique Universal Resource Locator (URL). A physical location is associated with each of the first web-sites. One of the first web-sites may be provided to a user as a user web-site. When the user or other individual seeks to access the user web-site, links to a plurality of the first web-sites are provided based on a relationship between the physical locations associated with the first web-sites and the physical location associated with the user web-site.

The invention discloses isomery medical information integrating system based on HL7 proxy server. It includes the following steps: receiving available resource enrollment from self area HL7 proxy server; managing it as resource metadata; responding any accessing request; setting HL7 proxy server at each hospital knot to manage medical information system; downloading available resource view in time to selecting remote integrating target for user; receiving self area medical information integrating request; accessing local or remote information system; integrating each returning knot. The invention combines centralized control with knot self rule to increase stability for whole platform, has high compatibility, interactive speed, safety etc.

This is a method and apparatus for giving an accurate vehicle location and route from one location to a desired destination. This is done by catching signals from a fixed local information source through a receiver system placed in the vehicles. The present invention is called LPS (Local Position System) navigation system because it is based on a local information system instead of getting information from a satellite or city beacon. This system has two main units. The first of these units is the Address Code, this is an emitter or carrier which is placed on roads all over the nation. This unit can provide digitized and standardized road information. The second of these units is the Receiver, which can receive signals on the road and search them in a database. This database is set in the vehicle and tells the accurate location of the vehicle. It then can give precise directions to a location based on user's input. Therefore, a system user will know where he is and exactly how to get where he wants to go. The system user can transmit the received signal to his headquarters or to people with the same equipment.

The invention discloses a language identification method of a scene text image in combination with global and local information. Basic features of a character image are extracted, and then global andlocal feature representations are extracted respectively; the global extraction branch uses global maximum pooling to express the whole graph as a vector, and category score prediction is carried out;probability prediction is performed on the local blocks of the image by the local aggregation branches respectively, and then the series of probability distributions are combined to obtain a categoryprediction score of a local level; and finally, global and local prediction scores are dynamically fused according to the branch prediction conditions to obtain a final identification result. According to the method, overall features and local differentiated features of the character images are noticed at the same time, and end-to-end training can be achieved in one step. Compared with an existing technology utilizing local features, the method has the advantages that the local differentiated features can be accurately extracted, excellent effects are achieved in the aspects of accuracy, operation efficiency and universality, and high practical application value is achieved.

Geotags, installed at fixed locations, communicate location specific information to a Device that uses that information to access additional information, either stored locally or accessed from remote systems. The information provided by the Geotags can be static information, such as addresses, or just unique IDs that can be translated to Internet URL addresses that are used by the Device to obtain dynamic information related to changing situations or allow the user to interact with locations to which the Geotag is affixed. The information is then used by blind individuals to navigate movement in their physical environment. The Geotags may further incorporate optional indicia, such as Braille, on the grid surface to aid a blind user.

The invention discloses a semi-supervised face recognition method based on local information and group sparse constraints. The method comprises the following steps that: obtaining a face dataset X which is an element of a set Rd*n, wherein the face dataset X contains n pieces of high-dimension data, d is a data dimension, the face dataset comprises m marked datasets X1 which is an element of a set Rd*m and a corresponding label matrix Y1 which is an element of a set Rm*c, and c is the classification number of face data; on the dataset X, constructing an unsupervised face feature selection model based on local information constraints; on the marked dataset X1, constructing a supervised face feature selection model based on a matrix l2,1 loss function; constructing a face feature selection target function of the group sparse constraint; utilizing an iterative optimization algorithm to solve the target function; and taking the screened face feature as the input of an SVM (Support Vector Machine), carrying out training to obtain an SVM classifier, and finishing face recognition. By use of the method, the selection and identification accuracy of face features can be effectively improved, and meanwhile, the interference of noise in the dataset can be effectively inhibited.

The invention discloses a foundation cloud picture classification method based on a completion local three value model. The method comprises the following steps that the local information of each training sample is decomposed into local difference value vectors and center pixels; each local difference value vector is decomposed into the products of sign vectors and amplitude vectors; the three-value mode coding is adopted for the sign vectors, the amplitude vectors and the center pixels, and in addition, the rotating unchanged consistency characteristics are respectively calculated; the rotating unchanged consistency characteristics are merged to obtain the final characteristic expression of the training samples; the final characteristic expression of the foundation cloud picture is calculated; and on the basis of the final characteristic expression of the foundation cloud picture and the training samples, the nearest adjacent classifier is adopted to obtain the classification results of the tested foundation cloud picture. The foundation cloud picture classification method has the advantages that the local information of images is considered in three aspects of sign, amplitude and center pixels, the local three-value mode is adopted for coding, and the final coding is carried out to obtain the final characteristic expression of the images, so better noise robustness and classification accuracy can be obtained.

The invention relates to a scene segmentation correction method. A local boundary correction network is adopted, a completely residual convolutional network is used as a front-end model, a confidencemap and an original image of the front-end model are spliced according to a channel as an input of the local boundary correction network so as to output local polymerization coefficients of all positions of the confidence map, the local polymerization coefficients are multiplied with the corresponding positions of the confidence map, and the products are polymerized to a center point to obtain a local boundary correction result of scene segmentation; and the local boundary correction network is trained by using a known scene segmentation data set. Meanwhile, the method further proposes serially connecting a global residual correction network and the local boundary correction network to form a cascade frame, and the cascade frame can be used for global correction and local correction on thesegmentation result of the front-end model, thus obtaining a more accurate scene segmentation correction result.

The invention discloses an object identification method based on a context information propagation local regression kernel, comprising steps of obtaining local structure information in a given template image by utilizing a local regression kernel, giving consideration to the context information of the local area, searching a characteristic area similar to a template image in the object image through the correlation between context information and the local information, based on the above arrangement, utilizing a local reservation projection to perform dimensionality reduction on image characteristics in order to reduce the redundancy of the characteristic data quantity, adopting similarity among correlated characters of cosine matrix similarity measurement to find similar character areas, and, at last, utilizing a non-maximum value suppression method to suppress unremarkable area characteristics to obtain a final recognition. The object identification method based on a context information propagation local regression kernel improves accuracy and efficiency of the target identification.

A web-based user interface and method for providing home and community information, move-in and move-out information, as well as vendor information in a simple and easy-to-access format for real estate professionals, future homeowners, and current homeowners. The user interface accepts only a zip code or town and city location information on a first web page, and then displays home and community information, move-in and move-out information, and/or vendor information in response to the location information submitted. A very simple user interface thereby provides a large collection of locally targeted information without the tedium and frustrations of previous methods. Such targeted information can facilitate a home sale, or a ease a move-in or move-out. The vendor information includes ratings and reviews of local vendors submitted by actual customers that may help a homeowner in making a more informed and therefore better decision about which vendor to select for products and/or services.

The invention discloses a comprehensive information management system for a biological sample library, which adopts a B/S (Browser/Server) system architecture and supports multi-account login, and a server is locally arranged and is in butt joint with an HIS (Hospital Information System), an LIS (Local Information System), a PACS (Picture Archiving and Communication System) and a maternal and child health information system; the comprehensive information management system for the biological sample library comprises a scientific research project management module, a specimen information management module, a specimen management module, a quality control management module and a system setting module. Project management and process management online examination and approval of examination and approval processes of collection, preservation, utilization and destruction of human genetic resources are realized, and integration of diagnosis information and five-level electronic medical record information of specimens and patients is realized; quality control parameters are recorded in the system, later quality tracing is facilitated, biological samples can be subjected to substantive standard management, sample information can be subjected to integration and summary statistics, and the management cost is reduced.

The invention discloses a local information and global information fusion-based target classification identification method. The method comprises the steps of extracting local information of a training sample set through a clustering thought to obtain K types of data, and performing calculation to obtain a clustering center corresponding to each type of the data; obtaining an initial classification result for each piece of the data in each type, performing correction on the initial classification result, and performing calculation to obtain a deviation between a corrected classification result and a true value; calculating a distance weight factor of the initial classification result of each piece of the data in each type and the true value; and for a target sample, calculating a distance between the target sample and each clustering center to adaptively select a corresponding effective correction matrix for correcting the initial classification result of the target sample, thereby obtaining a final classification result of a target. The clustering thought is applied to a process for improving the accuracy of data classification; and through the local information and global information fusion-based classification correction method, an output of a classifier is corrected to enable the identification output of the classifier to be closer to the true value, so that the classification precision of target identification can be effectively improved.

The invention belongs to the field of binocular stereoscopic vision technology and relates to a Census adaptive transformation algorithm based on multiple codes. According to the adaptive transformation algorithm, traditional Census transformation is improved mainly from the two aspects of coding mode and noise control, and a new coding strategy is used. Brightness information is utilized more sufficiently while local information in a window is considered, and noise is weakened, so that the algorithm has higher robustness.